Research Postdoctoral Fellow- Pediatric Cardiac Image Processing

SHIFT:

Day (United States of America)

A Brief Overview

Assume responsibility for an on-going, innovative research project as a Postdoctoral Fellow at CHOP. Our postdoc experience will broaden your skillset, scientific background, and research capabilities.

CHOP’s Commitment to Diversity, Equity, and Inclusion
CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children.
We strongly encourage all candidates of diverse backgrounds and lived experiences to apply.

Responsibilities

• Participate in project planning, recording, and evaluation of data.
• Conduct independent scholarly research, developing new methods and protocols under the guidance of a mentor (principal investigator).
• Acquire technical, lab management, and grant writing skills.
• Participate in seminars, lectures, poster sessions, national presentations, and professional workshops.
• Supervise junior lab members.
• Assist with other research projects as needed.

Education Qualifications

• Doctorate (required)

The JolleyLab at the Children’s Hospital of Philadelphia (CHOP) is recruiting a post-doctoral scholar or research associate with expertise in machine learning and Image Processing. Specifics aspects of this project include:

• Research on multi-perspective machine learning and registration-based automated segmentation of Pediatric Cardiac valves and ventricles from 4Dmult-modality images.
• Creation of algorithms to leverage substantial existing detailed cardiac and valves atlases for the segmentation of invivo imaging data Applicants must have a Ph.D. or an equivalent degree (or expect to defend in the near future); an excellent background in mathematics and computational sciences; and a strong track record of independent research in medical image analysis, computer vision, or a related field.

The group is involved in many exciting image-based modeling projects, including development of novel analysis methodologies; application of the state-of-the-art techniques to clinical studies; and translational research. The Fellow will be supported by a lab consisting of research assistants, mechanical engineers, masters and PhD level research software developers, and clinical collaborators within the Center for Pediatric Heart Valve Disease at CHOP. This environment will allow the Fellow to focus on the application of biomechanicsrather than acquiring data or maintainingImage Processing infrastructure. The Jolley Labis a leader in development and dissemination of Open-Source pediatric car-diacimage analysis applications (Slicer Heart, 3D Slicer). They collaborate locally with faculty at UPENN including the UPENN Image Computing and Science Lab (PICSL) and both national and international collaborators.

CHOP is located in Philadelphia, a vibrant city that offers many professional and cultural opportunities. They foster a friendly, noncompetitive, collaborative environment where each individual member of the laboratory is able to thrive, while also effectively contributing to the collaboration’s overall programmatic aims. The Children’s hospital of Philadelphia is an equal opportunity, affirmative action employer. Women and minority candidates are strongly encouraged to apply.

For more information on applying please email CV and brief statement of interest to:

Matthew Jolley, MD

Associate Professor

Children’s Hospital of Philadelphia

University of Pennsylvania School of Medicine

3401 Civic Center Blvd

Philadelphia, PA

jolleym@chop.edu

jolleylab.research.chop.edu

twitter:@jolleylab